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Natural Language Understanding in a Semantic Web Context, Barri?re


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Цена: 7965.00р.
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Автор: Barri?re
Название:  Natural Language Understanding in a Semantic Web Context
ISBN: 9783319413358
Издательство: Springer
Классификация:



ISBN-10: 331941335X
Обложка/Формат: Hardback
Страницы: 317
Вес: 0.65 кг.
Дата издания: 2016
Язык: English
Иллюстрации: XVII, 317 p.
Размер: 165 x 242 x 25
Читательская аудитория: Graduate/advanced undergraduate textbook
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book serves as a starting point for Semantic Web (SW) students and researchers interested in discovering what Natural Language Processing (NLP) has to offer. NLP can effectively help uncover the large portions of data held as unstructured text in natural language, thus augmenting the real content of the Semantic Web in a significant and lasting way. The book covers the basics of NLP, with a focus on Natural Language Understanding (NLU), referring to semantic processing, information extraction and knowledge acquisition, which are seen as the key links between the SW and NLP communities. Major emphasis is placed on mining sentences in search of entities and relations. In the course of this “quest, challenges will be encountered for various text analysis tasks, including part-of-speech tagging, parsing, semantic disambiguation, named entity recognition and relation extraction. Standard algorithms associated with these tasks are presented to provide an understanding of the fundamental concepts. Furthermore, the importance of experimental design and result analysis is emphasized, and accordingly, most chapters include small experiments on corpus data with quantitative and qualitative analysis of the results.This book is divided into four parts. Part I “Searching for Entities in Text” is dedicated to the search for entities in textual data. Next, Part II “Working with Corpora” investigates corpora as valuable resources for NLP work. In turn, Part III “Semantic Grounding and Relatedness” focuses on the process of linking surface forms found in text to entities in resources. Finally, Part IV “Knowledge Acquisition” delves into the world of relations and relation extraction. The book also includes three appendices: “A Look into the Semantic Web” gives a brief overview of the Semantic Web and is intended to bring readers less familiar with the Semantic Web up to speed, so that they too can fully benefit from the material of this book. “NLP Tools and Platforms” provides information about NLP platforms and tools, while “Relation Lists” gathers lists of relations under different categories, showing how relations can be varied and serve different purposes. And finally, the book includes a glossary of over 200 terms commonly used in NLP.The book offers a valuable resource for graduate students specializing in SW technologies and professionals looking for new tools to improve the applicability of SW techniques in everyday life – or, in short, everyone looking to learn about NLP in order to expand his or her horizons. It provides a wealth of information for readers new to both fields, helping them understand the underlying principles and the challenges they may encounter.
Дополнительное описание: 1 Introduction.- Part I Searching for Entities in Text.- Part II Working with Corpora.- Part III Semantic grounding and relatedness.- Part IV Knowledge Acquisition.- Appendix A A look into the Semantic Web.- Appendix B NLP tools, platforms and resources.-



Integration of World Knowledge for Natural Language Understanding

Автор: Ekaterina Ovchinnikova
Название: Integration of World Knowledge for Natural Language Understanding
ISBN: 9462390398 ISBN-13(EAN): 9789462390393
Издательство: Springer
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Цена: 14673.00 р.
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Описание: This book concerns non-linguistic knowledge required to perform computational natural language understanding (NLU). The main objective of the book is to show that inference-based NLU has the potential for practical large scale applications.

Natural Language Understanding and Intelligent Applications

Автор: Lin
Название: Natural Language Understanding and Intelligent Applications
ISBN: 3319504959 ISBN-13(EAN): 9783319504957
Издательство: Springer
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Цена: 14814.00 р.
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Описание:

This book constitutes the joint refereed proceedings of the 5th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2016, and the 24th International Conference on Computer Processing of Oriental Languages, ICCPOL 2016, held in Kunming, China, in December 2016.
The 48 revised full papers presented together with 41 short papers were carefully reviewed and selected from 216 submissions. The papers cover fundamental research in language computing, multi-lingual access, web mining/text mining, machine learning for NLP, knowledge graph, NLP for social network, as well as applications in language computing.
The Handbook of Computational Linguistics and Natural Language Processing, Clark, 2012

Название: The Handbook of Computational Linguistics and Natural Language Processing, Clark, 2012
ISBN: 1118347188 ISBN-13(EAN): 9781118347188
Издательство: Wiley
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Цена: 6011.00 р.
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Описание: The Handbook provides a comprehensive overview of the concepts, methodologies, and applications being undertaken today in computational linguistics and natural language processing.

Foundations of statistical natural language processing

Автор: Manning, Christopher D. Schutze, Hinrich
Название: Foundations of statistical natural language processing
ISBN: 0262133601 ISBN-13(EAN): 9780262133609
Издательство: MIT Press
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Цена: 19468.00 р.
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Описание:

Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications.


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